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Running on Zero
Running on Zero
| def inject(assembler, chain_definition, chain_items): | |
| if not chain_items: | |
| return | |
| ksampler_name = chain_definition.get('ksampler_node', 'ksampler') | |
| if ksampler_name not in assembler.node_map: | |
| print(f"Warning: KSampler node '{ksampler_name}' not found for Anima LLLite chain. Skipping.") | |
| return | |
| ksampler_id = assembler.node_map[ksampler_name] | |
| if 'model' not in assembler.workflow[ksampler_id]['inputs']: | |
| print(f"Warning: KSampler node '{ksampler_name}' is missing 'model' input. Skipping.") | |
| return | |
| current_model_connection = assembler.workflow[ksampler_id]['inputs']['model'] | |
| for item_data in chain_items: | |
| image_loader_id = assembler._get_unique_id() | |
| image_loader_node = assembler._get_node_template("LoadImage") | |
| image_loader_node['inputs']['image'] = item_data['image'] | |
| assembler.workflow[image_loader_id] = image_loader_node | |
| image_scaler_id = assembler._get_unique_id() | |
| image_scaler_node = assembler._get_node_template("ImageScaleToTotalPixels") | |
| image_scaler_node['inputs']['image'] = [image_loader_id, 0] | |
| image_scaler_node['inputs']['upscale_method'] = 'nearest-exact' | |
| image_scaler_node['inputs']['megapixels'] = 1.0 | |
| assembler.workflow[image_scaler_id] = image_scaler_node | |
| apply_cn_id = assembler._get_unique_id() | |
| apply_cn_node = assembler._get_node_template("AnimaLLLiteApply") | |
| apply_cn_node['inputs']['lllite_name'] = item_data['control_net_name'] | |
| apply_cn_node['inputs']['strength'] = item_data['strength'] | |
| apply_cn_node['inputs']['start_percent'] = item_data.get('start_percent', 0.0) | |
| apply_cn_node['inputs']['end_percent'] = item_data.get('end_percent', 1.0) | |
| apply_cn_node['inputs']['model'] = current_model_connection | |
| apply_cn_node['inputs']['image'] = [image_scaler_id, 0] | |
| assembler.workflow[apply_cn_id] = apply_cn_node | |
| current_model_connection = [apply_cn_id, 0] | |
| assembler.workflow[ksampler_id]['inputs']['model'] = current_model_connection | |
| print(f"Anima LLLite injector applied. KSampler model input re-routed through {len(chain_items)} LLLite(s).") |